Literature DB >> 27477052

Cold Spots in Protein Binding.

Jason Shirian1, Oz Sharabi1, Julia M Shifman2.   

Abstract

Understanding the energetics and architecture of protein-binding interfaces is important for basic research and could potentially facilitate the design of novel binding domains for biotechnological applications. It is well accepted that a few key residues at binding interfaces (binding hot spots) are responsible for contributing most to the free energy of binding. In this opinion article, we introduce a new concept of 'binding cold spots', or interface positions occupied by suboptimal amino acids. Such positions exhibit a potential for affinity enhancement through various mutations. We give several examples of cold spots from different protein-engineering studies and argue that identification of such positions is crucial for studies of protein evolution and protein design.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Keywords:  binding affinity; binding energetics; binding landscapes; protein–protein interactions; saturation mutagenesis

Mesh:

Substances:

Year:  2016        PMID: 27477052     DOI: 10.1016/j.tibs.2016.07.002

Source DB:  PubMed          Journal:  Trends Biochem Sci        ISSN: 0968-0004            Impact factor:   13.807


  12 in total

1.  Pre-equilibrium competitive library screening for tuning inhibitor association rate and specificity toward serine proteases.

Authors:  Itay Cohen; Si Naftaly; Efrat Ben-Zeev; Alexandra Hockla; Evette S Radisky; Niv Papo
Journal:  Biochem J       Date:  2018-04-16       Impact factor: 3.857

Review 2.  Computational design and experimental optimization of protein binders with prospects for biomedical applications.

Authors:  Alessandro Bonadio; Julia M Shifman
Journal:  Protein Eng Des Sel       Date:  2021-02-15       Impact factor: 1.952

3.  Quantitative mapping of binding specificity landscapes for homologous targets by using a high-throughput method.

Authors:  Lidan Aharon; Shay-Lee Aharoni; Evette S Radisky; Niv Papo
Journal:  Biochem J       Date:  2020-05-15       Impact factor: 3.857

4.  Converting a broad matrix metalloproteinase family inhibitor into a specific inhibitor of MMP-9 and MMP-14.

Authors:  Jason Shirian; Valeria Arkadash; Itay Cohen; Tamila Sapir; Evette S Radisky; Niv Papo; Julia M Shifman
Journal:  FEBS Lett       Date:  2018-03-12       Impact factor: 4.124

5.  An ultra-high affinity protein-protein interface displaying sequence-robustness.

Authors:  Marie Sofie Møller; Sita Vaag Olesen; Ingemar André
Journal:  Protein Sci       Date:  2021-04-19       Impact factor: 6.993

6.  A bi-specific inhibitor targeting IL-17A and MMP-9 reduces invasion and motility in MDA-MB-231 cells.

Authors:  Dana Koslawsky; Marianna Zaretsky; Ron Alcalay; Ohad Mazor; Amir Aharoni; Niv Papo
Journal:  Oncotarget       Date:  2018-06-19

7.  Novel dynamic residue network analysis approaches to study allosteric modulation: SARS-CoV-2 Mpro and its evolutionary mutations as a case study.

Authors:  Olivier Sheik Amamuddy; Rita Afriyie Boateng; Victor Barozi; Dorothy Wavinya Nyamai; Özlem Tastan Bishop
Journal:  Comput Struct Biotechnol J       Date:  2021-11-25       Impact factor: 7.271

8.  Using chirality to probe the conformational dynamics and assembly of intrinsically disordered amyloid proteins.

Authors:  Jevgenij A Raskatov; David B Teplow
Journal:  Sci Rep       Date:  2017-10-02       Impact factor: 4.379

9.  Mapping protein selectivity landscapes using multi-target selective screening and next-generation sequencing of combinatorial libraries.

Authors:  Si Naftaly; Itay Cohen; Anat Shahar; Alexandra Hockla; Evette S Radisky; Niv Papo
Journal:  Nat Commun       Date:  2018-09-26       Impact factor: 14.919

10.  Generating quantitative binding landscapes through fractional binding selections combined with deep sequencing and data normalization.

Authors:  Michael Heyne; Niv Papo; Julia M Shifman
Journal:  Nat Commun       Date:  2020-01-15       Impact factor: 14.919

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